Intelligent vehicle battery charging for high capacity batteries

Abstract

A system and method for intelligent battery charging management to improve battery life and charging efficiency of high capacity batteries that may not be deeply discharged on a regular basis may learn driving habits automatically and/or with user input and select an ending state-of-charge (SOC) to limit battery charging to less than maximum capacity based on current and/or anticipated ambient temperature and battery health of life (HOL). An expected vehicle travel distance before the next charge may be learned or determined based on vehicle or user inputs. An ending SOC based on battery temperature, a delta SOC to meet propulsive energy for the expected travel distance, cycling effect (depth of discharge) on battery HOL for a given delta SOC, and/or battery working efficiency may be used to control charging of the vehicle battery.

What is claimed is: 
     
       1. A method for controlling charging of an electrified vehicle having a traction battery from an external power source, the method comprising, by a controller:
 in response to detecting connection of the electrified vehicle to the external power source and an anticipated driving event distance preceding a subsequent battery charging event being less than a maximum driving distance associated with a full charge of the traction battery:
 estimating temperature of the traction battery during operation of the anticipated driving event; 
 estimating a delta state-of-charge (SOC) based on the estimated temperature of the traction battery and the anticipated driving event distance; 
 calculating a minimum target SOC based on the delta SOC; 
 estimating change of battery health of life (HOL) associated with the delta SOC and the estimated temperature for a plurality of ending SOCs; 
 estimating battery operating efficiency for a plurality of ending SOCs based on the delta SOC and the temperature of the traction battery during operation; 
 calculating a desired ending SOC based on the change of battery HOL and a selected one of the plurality of ending SOCs; 
 calculating a target SOC based on the desired ending SOC and the delta SOC; and 
 charging the traction battery responsive to a current SOC being less than the target SOC. 
 
 
     
     
       2. The method of  claim 1  further comprising receiving the anticipated driving event distance via an HMI of the electrified vehicle. 
     
     
       3. The method of  claim 1  further comprising calculating the anticipated driving event distance based on a plurality of vehicle driving events. 
     
     
       4. The method of  claim 1  wherein estimating temperature of the traction battery during operation of the anticipated driving event comprises estimating the temperature based on a current traction battery temperature and an ambient temperature forecast for the anticipated driving event. 
     
     
       5. The method of  claim 2  further comprising receiving the anticipated driving event distance wirelessly via a transceiver of the electrified vehicle in communication with the controller. 
     
     
       6. The method of  claim 5  further comprising transmitting charging data and trip data from the electrified vehicle to an external computing device. 
     
     
       7. The method of  claim 6  wherein the external computing device comprises a mobile phone.